Code Matrix Research Articles

Concept mapping to promote clinical reasoning in multimorbidity: a mixed methods study in undergraduate family medicine

BackgroundClinical reasoning significantly impacts physicians’ performance and patient care quality. Research into learning transfer within clinical reasoning education, especially in managing multimorbidity in Family Medicine, is crucial. This study evaluates the impact of concept maps (CMs) on promoting clinical reasoning skills among undergraduate students, compared to traditional teaching methods (TM).MethodsA mixed methods approach was used in a controlled, non-randomized study with fifth-year Family Medicine undergraduates allocated to sessions using either CMs or TM. Quantitative data included a feedback questionnaire and evaluation of an individual task. Qualitative data comprised responses to an open-ended question and analysis of problem representation in the individual task.ResultsAmong 313 eligible students, 112 participated (CM: 60, TM: 52). Both groups reported high satisfaction with their teaching methods. The CM group valued the holistic view and organization for managing multimorbidity cases, showing higher odds of positive scores on individual tasks (differences not statistically significant). Additionally, the CM group had a more homogeneous code matrix for problem representation in two clinical vignettes.ConclusionsWhile no definitive evidence supports the superiority of CMs over traditional methods, promising trends were noted. The CM group showed improved performance in individual tasks and better organization in managing multimorbidity cases. Further investigation is recommended to explore varying levels of CM usage and modifications to pre-class workloads.Clinical trial numberNot applicable.

GSyncCode: Geometry Synchronous Hidden Code for One-step Photography Decoding

Invisible hyperlinks and hidden barcodes have recently emerged as a hot topic in offline-to-online messaging, where an invisible message or barcode is embedded in an image and can be decoded via camera shooting. Current schemes involve a two-step decoding process: starting with vertex localization of the embedded region to correct the perspective distortion introduced by shooting, followed by decoding the message from the corrected region. However, vertex localization can be complex and time-consuming, which affects the efficiency and accuracy of message decoding. To address this issue, this paper proposes a geometry synchronous decoding scheme called GSyncCode, allowing for one-step extraction of a Data Matrix code from the photograph. Instead of correction before decoding, GSyncCode directly decodes a geometry-transformed Data Matrix that is synchronized with the embedded region. A barcode scanner is then used to efficiently retrieve messages. We design a Haar-transform based encoder HaarUNet and a HaarLoss visual function to select the key component of the Data Matrix for embedding. They improve the visual quality of the embedded image by reducing redundant embedding signals. Extensive simulated and real-world experiments demonstrate the superiority of GSyncCode in both decoding efficiency and accuracy. Our codes are published at: https://github.com/zcx-language/GSyncCode.

Implementation of a Standardized Tool for Root Cause Analysis Selection.

This study sought to determine if a standardized root cause analysis (RCA2) selection algorithm, developed by the Veterans Affairs, would select high-risk events for RCA. Physician-entered incident reports for all surgical service admissions and perioperative visits were queried over 12 months in the DATIX Clinical Incident Management System. Independent reviewers assigned potential harm and event frequency scores using an institutional scoring system and then calculated and rounded average scores. These were classified using RCA2 terminology (catastrophic, major, moderate, minor for harm; frequent, occasional, uncommon, remote for frequency). The scores were then evaluated with the standardized Safety Assessment Code Matrix (SAC) algorithm from the National Patient Safety Foundation's RCA2 guidelines to determine Potential Harm Scores. The SAC combines severity and probability to determine the necessity of conducting an RCA. Catastrophic and major high-frequency events (matrix score = 3) were classified as "RCA recommended." The study then compared cases selected for RCAs using the updated RCA2 algorithm against cases selected using a current, institutional-specific RCA selection process. One hundred four cases were reviewed, comprising 20 catastrophic, 48 major harm, 26 moderate harm, and 10 minor harm events. After removing 9 high-variance cases, our institution's current selection process selected 18 cases for RCAs, including 6/20 catastrophic, 8/39 major harm, and 4/36 moderate/minor harm events. Only 17.3% of cases had an RCA completed, while the standardized RCA2 algorithm recommended investigation for 56.7% of patient safety events, based on SAC Matrix scoring. Current RCA selection processes rendered 4 RCAs on low potential harm or low-frequency events, while 45 potential high-frequency, high potential harm events did not complete RCAs. Standardizing the selection of patient safety incidents for RCA using the RCA2 algorithm improves case identification based on the event frequency and potential harm score. Thus, this algorithm has the potential to advance patient safety.

Enhanced underwater optical wireless communication using optical code division multiple access with sigma shift matrix code

A high-speed 40 Gbps Underwater Optical Wireless Communication (UOWC) system exploiting code division multiple access is proposed in this paper. Optical Code Division Multiple Access (OCDMA) systems play a crucial role in enhancing transmission capacity by allowing multiple channels to transmit data simultaneously. In this proposed work, four channels each assigned a distinct Sigma Shift Matrix (SSM) code and modulated with a data at 10 Gbps. Laser Diode (LD) sources operating in the green spectrum are used in UOWC systems due to their low attenuation. To ensure the feasibility of implementing the proposed system in real-world environments, the actual scattering and absorption coefficients from five different types of water are considered: Pure Sea (PS), Clear Ocean (CL), Coastal Sea (CS), Harbor I (HI), and Harbor II (HII). The system's performance is evaluated via the Quality Factor (Q-factor), Bit Error Rate (BER), and eye diagrams opening. The simulation results indicate that in PS water, which exhibits the lowest attenuation, the four channels achieve the longest underwater transmission distance of 48 m, with a Q-factor ≥ 4.1, log(BER) ≤ −4.7, and wide eye openings. Since CL and CS have higher attenuation than PS, they enable shorter transmission distances of 27.5 m and 16 m, respectively, while maintaining nearly the same Q-factor, log(BER), and eye diagrams. Conversely, the highest attenuation observed in HI and HII waterbodies results in the shortest underwater spans of 8.2 m and 5.05 m, respectively.

Interleaved Counter Matrix Code in SRAM Memories for Continuous Adjacent Multiple Bit Upset Correction

Interleaved Counter Matrix Code in SRAM Memories for Continuous Adjacent Multiple Bit Upset Correction

Cracking the Pericellular Matrix Code: Exploring how MMP-2, -3, and -7 influence matrix breakdown and biomechanical properties

IntroductionThe intricate process of articular cartilage remodeling, pivotal for both physiological functions and osteoarthritis (OA) progression, is orchestrated through a balance of matrix synthesis and breakdown, which is mediated by matrix metalloproteinase enzymes (MMPs). At the heart of this remodeling lies the pericellular matrix (PCM), a specialized microenvironment encapsulating each chondrocyte and composed mainly of collagen type VI and perlecan. The aim of this study was to assess the impact of MMP-2, -3, and -7 on the structural integrity and biomechanical attributes of the PCM. MethodsHuman articular cartilage explants (N=10 patients) were incubated with activated MMP-2, -3, or -7, individually or in combination. Structural alterations in the PCM were evaluated by immunolabeling. The biomechanical properties of the PCM were measured using atomic force microscopy (AFM). ResultsCollagen type VI structural integrity and fluorescence intensity uniformly decreased across all enzyme groups, while perlecan was selectively affected by MMP-3 and -7. AFM measurements demonstrated decreased PCM stiffness after incubation with individual MMPs, leading to an overall ~31 % reduction in elastic modulus for each enzyme. Combinations of enzymes induced comparable significant biomechanical alterations (~35 %), except for MMP-2+MMP-7. DiscussionThis study highlights the significant influence of MMP-induced alterations in PCM composition on biomechanical properties, mirroring characteristics observed in early OA. Each MMP showed specificity in breaking down PCM, and an intriguing interplay, especially between MMP-2 and -7, indicated reduced efficacy in lowering PCM stiffness. Overall, MMP-2, -3, and -7 directly induce functional and structural PCM modifications.

Exploring drivers of self-treatment with antibiotics in three agricultural communities of northern Tanzania

BackgroundAntimicrobial resistance (AMR) poses a significant global health threat, particularly in low- and middle-income countries (LMICs). Self-treatment with antibiotics, the practice of using antibiotics without professional guidance, is often considered an important contributor to the emergence and spread of AMR.MethodThis study investigated the drivers of self-treatment in three common types of agricultural communities in northern Tanzania. The research employed a comprehensive array of methods, including cross-sectional surveys (n = 790), interviews (n = 30) and observations (n = 178) targeting both antibiotic (human and animal) providers and users (patients and farmers). Qualitative interview data were analysed using a coding and association matrix, while descriptive analyses were performed on survey and observation data.ResultsSelf-treatment with antibiotics was highly prevalent in all communities. Between 41.0% (self-reported) and 60.3% (observed) of human antibiotics were obtained without a prescription and we observed that veterinary antibiotics were regularly purchased in retail shops without referral by a professional. Structural deficiencies in the healthcare system drove this practice: limited access to healthcare facilities, medication stockouts and prolonged waiting times were identified as key factors. The absence of safety nets like insurance schemes further contributed to self-medication. Retail shops offered a convenient and cost-effective alternative when antibiotics were inaccessible or unaffordable. Notably, informal networks comprising treatment vendors, friends or neighbours, as well as personal experiences played a crucial role in guiding individuals in their self-treatment decisions by providing advice on treatment choice and modalities.ConclusionsAddressing self-treatment requires a multi-faceted approach. Improving the availability and accessibility of antibiotics, enhancing healthcare services and involving retail vendors in antibiotic stewardship are essential. Structural issues like access to diagnostics and medicines must be tackled, alongside reducing barriers and incentivising individuals to use professional healthcare services. Training retail vendors to sell specific first-line antibiotics over the counter with guidance on appropriate usage should be considered. Such bottom-up interventions will enable sustainable promotion of responsible antibiotic use, mitigating AMR emergence and securing a healthier future for all.

A cosine similarity-based labeling technique for vulnerability type detection using source codes

Vulnerability detection is of great importance in providing reliability to software systems. Although existing methods achieve remarkable success in vulnerability detection, they have several disadvantages as follows: (1) The irrelevant information is removed from source codes, which have a high noise ratio, thereby utilizing deep learning methods and devising experiments featuring high accuracy. However, deep learning-based detection methods necessitate large-scale datasets. This results in computational hardship with respect to vulnerability detection in small-scale software systems. (2) The majority of the studies perform feature selection by processing vulnerability commits. Despite tremendous endeavors, there are few works detecting vulnerability with source codes. To solve these two problems, in this study, a novel labeling and vulnerability detection algorithm is proposed. The algorithm first exploits source codes with the help of a keyword vulnerability matrix. After that, an ultimate encoded matrix is generated by word2vec, thereby combining the labeling vector with the source code matrix to reveal a trainable dataset for a generalized linear model (GLM). Different from preceding studies, our method performs vulnerability detection without requiring vulnerability commits but using source codes. In addition to this, similar studies generally aim to bring sophisticated solutions for just one type of programming language. Conversely, our study develops vulnerability keywords for three programming languages including C#, Java, and C++, and creates the related labeling vectors by regarding the keyword matrix. The proposed method outperformed the baseline approaches for most of the experimental datasets with over 90% of the area under the curve (AUC). Further, there is a 7.7% margin between our method and the alternatives on average for Recall, Precision, and F1-score with respect to five types of vulnerabilities.

Exploring the Influence of Sports on Student-Athletes’ Competitive Mindsets during the COVID-19 Pandemic

Sports aim to enhance an individual’s formation through organized physical and mental involvement. As sports participation promotes teamwork and dedication, athletes develop sportsmanship, mindfulness, and mental toughness, which brings out their confidence. While the COVID-19 pandemic has caused distress and tested the resilience of people, the effects of the situation on student-athlete mindset and competitiveness remain unresolved. With Bandura’s Self-Efficacy Theory as its foreshadowing theory, this qualitative study focused on the experiences of 10 high school to collegiate student-athletes from a private university in Manila who were asked about their mindsets during the COVID-19 pandemic. After analyzing the data from the transcribed interviews through thematic analysis and the use of the Tracy Coding Matrix, findings revealed the effects of Bandura’s sources of self-efficacy expectations that influenced the student-athletes’ will to win, particularly performance accomplishments, vicarious experience, verbal persuasion, and emotional arousal. The researchers found that sports affect student-athletes’ competitive mindsets by developing their traits, such as self-confidence, motivation, self-assurance, self-reformation, and wellness. Although sports participation also caused feelings of insecurity and pressure among the participants, especially during the COVID-19 pandemic, student-athletes were able to adapt, particularly through being supported by their environment. With this, some of the findings suggest that a social circle's presence may ignite student-athletes' drive for victory but may also demotivate them. Finally, the findings of the study may be used to understand student-athlete behavior and strategies such as positive reinforcement and goal-setting may be used to improve their mentalities.

Description of Longidorus sanlitanensis n. sp. (Dorylaimida: Longidoridae) from the rhizosphere of Melilotoides ruthenica and Chamaerhodos erecta in China

Summary Longidorus sanlitanensis n. sp. was recovered from the rhizosphere of Melilotoides ruthenica and Chamaerhodos erecta in the Inner Mongolia Autonomous Region, P.R. China, and was described and illustrated using morphological and molecular data. The new species is characterised by medium body length of females (4.0-4.8 mm), lip region anteriorly rounded and separated from the rest of the body by a depression, pocket-shaped amphidial pouches, the guiding ring located at 58.4-66.0 μm from the anterior end, odontostyle and odontophore 107.2-114.6 and 71.6-77.8 μm long, respectively, the pharyngeal bulb 68.7-79.7 μm long, a short conical tail with a broadly rounded terminus, four juvenile developmental stages (J1 was not detected) and males absent. By similarities in the distance of the guiding ring from the anterior body end, body and odontostyle length and lip region shape, the new species was compared with nine similar species, namely: L. litchi, L. diadecturus, L. fursti, L. himalayensis, L. jonesi, L. wiesae, L. macromucronatus, L. fangi and L. zhengi. The matrix code of the new species is: A4-B2-C5-D4-E1-F2-G2-H12-I2-J1-K?. The phylogenetic relationships of the new species with other relevant species were reconstructed using near-full-length 18S, ITS1 and 28S D2-D3 regions of rRNA gene and the resulted topologies were discussed. In 18S phylogeny, L. sanlitanensis n. sp. formed a clade with L. litchi inside a major clade, including species with a posteriorly located guiding ring, and in 28S phylogeny it showed close relationships with species having a posteriorly located guiding ring. This is the 22nd Longidorus species recorded from China.

Gravitational wave measurement in the mid-band with atom interferometers

Gravitational Waves (GWs) have been detected in the ∼ 100 Hz and nHz bands, but most of the gravitational spectrum remains unobserved. A variety of detector concepts have been proposed to expand the range of observable frequencies. In this work, we study the capability of GW detectors in the “mid-band”, the ∼ 30 mHz– 10 Hz range between LISA and LIGO, to measure the signals from and constrain the properties of ∼ 1 – 100 M ⊙ compact binaries. We focus on atom-interferometer-based detectors. We describe a Fisher matrix code, AIMforGW, which we created to evaluate their capabilities, and present numerical results for two benchmarks: terrestrial km-scale detectors, and satellite-borne detectors in medium Earth orbit. Mid-band GW detectors are particularly well-suited to pinpointing the location of GW sources on the sky. We demonstrate that a satellite-borne detector could achieve sub-degree sky localization for any detectable source with chirp mass ℳ c ≲ 50 M ⊙. We also compare different detector configurations, including different locations of terrestrial detectors and various choices of the orbit of a satellite-borne detector. As we show, a network of only two terrestrial single-baseline detectors or one single-baseline satellite-borne detector would each provide close-to-uniform sky-coverage, with signal-to-noise ratios varying by less than a factor of two across the entire sky. We hope that this work contributes to the efforts of the GW community to assess the merits of different detector proposals.

Provision of sexual health education in secondary schools: A multidisciplinary lens of stakeholders in southern highlands, Tanzania

IntroductionSchool-based sexual health education reduces risky sexual outcomes for in-school adolescents such as unintended premarital pregnancies, unsafe abortions, increased risk of contracting sexually transmitted infections (STIs) including HIV and AIDS, early parenthood, a massive dropout from schools and untimely deaths. Despite the teaching of sexual health education in secondary schools, adolescents in Iringa Region are being exposed to increasing risks of sexual behaviours such as premarital sex, multiple sexual partners, and unprotected sex. This study examines stakeholders’ attitudes and beliefs toward providing sexual health education in secondary schools in Iringa Region, Tanzania. MethodsA qualitative approach under cross-sectional design was used. A purposive sampling technique was applied in selecting the Districts and participants for the study while simple random was used in the selection of schools. The participants were purposively selected depending on their position and knowledge of the subject matter. This study had 50 participants in total, 36 of them were teachers (6 from each school) who participated in focus group discussions (FGDs). After that, in-depth interviews with 14 participants were also conducted including 6 headmasters/mistresses, 6 healthcare professionals and 2 District secondary education officers. All FGDs and in-depth interviews used standardized questions to elicit information. The collected data were audio-recorded through tape recorders, transcribed, and translated into English. An initial coding matrix was developed and refined throughout the coding process. Transcripts were coded and analyzed using the content analysis approach. ResultsFindings from this study revealed all stakeholders having positive attitudes toward the provision of sexual health education in secondary schools. Results also revealed participants in favour of adolescents being taught several topics except for homosexuality. Findings on the appropriate age to start learning sexual health education revealed participants having trouble in fixing the right age, however, they said, at least 5 through 10 years before a child initiates sexual activity. ConclusionThe study concludes that stakeholders in the study areas have a positive attitude towards the provision of sexual health education in secondary schools and want students to be taught a wide range of topics before they initiate sexual activity. It is recommended that age-appropriate comprehensive sexuality education be given to teenagers to provide them with the knowledge they need to make informed decisions about their sexuality. This requires concerted efforts from the school, government and community involvement in the provision of sexual health education to in-school adolescents.

Применение матричного кода (QR-кода) для исполнения административного наказания в виде административного штрафа за нарушение требований пожарной безопасности

In this article, the researchers come to the conclusion that in order to improve the activities of officials of the Ministry of Emergency Situations of Russia and simplify the process of executing administrative punishment in the form of an administrative fine, it is necessary to use a matrix code on the forms of resolutions on administrative offenses. It is indicated that this introduction will speed up the process of executing an administrative penalty, thereby avoiding late payment and eliminating the possibility of making mistakes when manually entering the details.

QR Code Recognition Based on Image Processing

To solve the QR code recognition problem caused by ordinary camera collection, the recognition algorithm based on image processing is put forward in this paper. The whole process including image binarization, image tilt correction, image orientation, image geometric correction and image normalization allows images collected on different illumination conditions. Experiments show that the improved method can enhance the recognition speed of two-dimensional code and accuracy. QR i.e. “Quick Response” code is a 2D matrix code that is designed by keeping two points under consideration, i.e. it must store large amount of data as compared to 1D barcodes and it must be decoded at high speed using any handheld device like phones. QR code provides high data storage capacity, fast scanning, omnidirectional readability, and many other advantages including, error-correction (so that damaged code can also be read successfully) and different type of versions. Different varieties of QR code symbols like logo QR code, encrypted QR code, QR Code are also available so that user can choose among them according to their need. Now these days, a QR code is applied in different application streams related to marketing, security, academics etc. and gain popularity at a really high pace. Day by day more people are getting aware of this technology and use it accordingly. The popularity of QR code grows rapidly with the growth of smartphone users and thus the QR code is rapidly arriving at high levels of acceptance worldwide.

TripHLApan: predicting HLA molecules binding peptides based on triple coding matrix and transfer learning.

Human leukocyte antigen (HLA) recognizes foreign threats and triggers immune responses by presenting peptides to T cells. Computationally modeling the binding patterns between peptide and HLA is very important for the development of tumor vaccines. However, it is still a big challenge to accurately predict HLA molecules binding peptides. In this paper, we develop a new model TripHLApan for predicting HLA molecules binding peptides by integrating triple coding matrix, BiGRU + Attention models, and transfer learning strategy. We have found the main interaction site regions between HLA molecules and peptides, as well as the correlation between HLA encoding and binding motifs. Based on the discovery, we make the preprocessing and coding closer to the natural biological process. Besides, due to the input being based on multiple types of features and the attention module focused on the BiGRU hidden layer, TripHLApan has learned more sequence level binding information. The application of transfer learning strategies ensures the accuracy of prediction results under special lengths (peptides in length 8) and model scalability with the data explosion. Compared with the current optimal models, TripHLApan exhibits strong predictive performance in various prediction environments with different positive and negative sample ratios. In addition, we validate the superiority and scalability of TripHLApan's predictive performance using additional latest data sets, ablation experiments and binding reconstitution ability in the samples of a melanoma patient. The results show that TripHLApan is a powerful tool for predicting the binding of HLA-I and HLA-II molecular peptides for the synthesis of tumor vaccines. TripHLApan is publicly available at https://github.com/CSUBioGroup/TripHLApan.git.

Monomial isomorphism for tensors and applications to code equivalence problems

Starting from the problem of d-tensor isomorphism (d-TI\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\ extsf {TI}$$\\end{document}), we study the relation between various code equivalence problems in different metrics. In particular, we show a reduction from the sum-rank metric (CEsr\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\ extsf {CE}_{\ extsf {sr}}$$\\end{document}) to the rank metric (CErk\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\ extsf {CE}_{\ extsf {rk}}$$\\end{document}). To obtain this result, we investigate reductions between tensor problems. We define the monomial isomorphism problem for d-tensors (d-TI∗\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\ extsf {TI}^*$$\\end{document}), where, given two d-tensors, we ask if there are d-1\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$d-1$$\\end{document} invertible matrices and a monomial matrix sending one tensor into the other. We link this problem to the well-studied d-TI\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\ extsf {TI}$$\\end{document} and the TI\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\ extsf {TI}$$\\end{document}-completeness of d-TI∗\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\ extsf {TI}^*$$\\end{document} is shown. Due to this result, we obtain a reduction from CEsr\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\ extsf {CE}_{\ extsf {sr}}$$\\end{document} to CErk\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\ extsf {CE}_{\ extsf {rk}}$$\\end{document}. In the literature, a similar result was known, but it needs an additional assumption on the automorphisms of matrix codes. Since many constructions based on the hardness of Code Equivalence problems are emerging in cryptography, we analyze how such reductions can be taken into account in the design of cryptosystems based on CEsr\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\ extsf {CE}_{\ extsf {sr}}$$\\end{document}.

CHAMPP4KIDS: Mixed methods study protocol to evaluate acceptability and feasibility of Parenting for Lifelong Health materials in a Canadian context.

Parents and caregivers play a key role in children's healthy development and well-being. Traditional parenting interventions promote positive parenting practices and are key to preventing child maltreatment. However, numerous barriers can limit access to programs, barriers which were further exacerbated by the COVID-19 pandemic. The Parenting for Lifelong Health group developed mass media and public health communication materials to promote positive caregiving behaviours on a population level. The Champions of Positive Parenting 4 Kids (CHAMPP4KIDS) study will examine the acceptability and feasibility of these materials for service providers and caregivers of children aged 2-6 years in Ontario, Canada. This study will use a convergent mixed-methods design. Consenting service providers (n = 200) and caregivers (n = 100) will complete a quantitative survey to rate, rank and give feedback on Parenting for Lifelong Health tip sheets and social media ads. Caregivers will also complete self-report scales measuring depression and anxiety. We will hold focus group discussions with a sub-sample of surveyed providers (n = 40) and caregivers (n = 25). An adapted Trials of Improved Practices methodology will explore caregiver perspectives after implementing the tip sheets. Primary quantitative outcomes will be descriptive statistics of rankings, Likert Scale scores and descriptive analysis of caregiver depression and anxiety. Qualitative data will be analyzed using Rapid Qualitative Inquiry and triangulated through a convergent coding matrix. The Parenting for Lifelong Health COVID-19 parenting materials offer succinct, engaging parenting information in a mass media format that addresses some challenges associated with accessing in-person programming. The CHAMPP4KIDS study will provide mixed methods insights on the materials' acceptability and feasibility from different groups in a Canadian context, with a focus on marginalized families. The use of Trials of Improved Practices methodology could prove a useful tool for participant-led adaptation of existing parenting, early childhood development and other health intervention materials.

A 19-Bit Small Absolute Matrix Encoder.

With the application of encoders in artificial intelligence and aerospace, the demand for the miniaturization and high measurement accuracy of encoders is increasing. To solve this problem, a new absolute matrix encoder is proposed in this paper, which can realize 19-bit matrix coding by engraving two circles of matrix code, and has the advantages of fewer circles of code disk engraving and higher measurement accuracy. This article mainly focuses on the design of a new matrix code disk, encoding and decoding methods, decoding circuit design, Matlab simulation analysis, and experimental error analysis. The experimental results show that the encoder designed in this paper achieves ultra-small volume Φ30 mm × 20 mm, and the angle measurement accuracy is 2.57".

PLS class modelling using error correction output code matrices, entropy and NIR spectroscopy to detect deficiencies in pastry doughs

Biscuits are a highly demanded product worldwide. Its success makes their manufacture process a challenging task, needing new strategies to maintain the high production levels and a high-quality standard. This is determined by two key processes: the kneading and the rolling. This manuscript aims to reflect the improvements that the application of a novel soft multiclass compliant classification method (PLS2-CM) entails regarding the traditional chemometric class modelling. With this new approach, the intention is to detect possible deficiencies in biscuit doughs (excess of water, lack of water or little kneading time) during both industrial processes by using NIR spectroscopy.In PLS2-CM, the coding of the classes is done using an Error Correcting Code Matrix (ECOC), which implies to employ several binary learners so that their number and structure are not predetermined beforehand but are function of the data set to be modelled. The optimization criterion in PLS2-CM is the sensitivity and specificity matrix evaluated by the Diagonal Modified Confusion Entropy (DMCEN), a new index inspired by the Shannon's entropy that is more sensitive to changes in the elements of that matrix than the usual total efficiency. The results obtained according to this index are better with this new soft classification method than the ones obtained when using other soft class modelling techniques such as soft independent modelling of class analogy (SIMCA) or unequal dispersed classes (UNEQ).In this work it is shown that it is possible to completely distinguish a correct kneaded dough from another defective one with a specificity equal to 1 during the kneading process, but the class corresponding with water deficit dough, accepts a very high percentage (80 % in training and 92 % in prediction) of the excess-water dough spectra. Despite that, after the fermentation and during the rolling process, the same doughs are modelled with complete sensitivity and specificity in prediction (100 %), which indicates that the physico-chemical changes produced during the fermentation are decisive to characterize the absence of defects in biscuit doughs kneading by NIR spectroscopy.

Hardness estimates of the code equivalence problem in the rank metric

In this paper, we analyze the hardness of the Matrix Code Equivalence (MCE) problem for matrix codes endowed with the rank metric, and provide the first algorithms for solving it. We do this by making a connection to another well-known equivalence problem from multivariate cryptography—the Isomorphism of Polynomials (IP). Under mild assumptions, we give tight reductions from MCE to the homogenous version of the Quadratic Maps Linear Equivalence (QMLE) problem, and vice versa. Furthermore, we present reductions to and from similar problems in the sum-rank metric, showing that MCE is at the core of code equivalence problems. On the practical side, using birthday techniques known for IP, we present two algorithms: a probabilistic algorithm for MCE running in time q23(n+m)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$q^{\\frac{2}{3}(n+m)}$$\\end{document} up to a polynomial factor, and a deterministic algorithm for MCE with roots, running in time qmin{m,n,k}\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$q^{\\min \\{m,n,k\\}}$$\\end{document} up to a polynomial factor. Lastly, to confirm these findings, we solve randomly-generated instances of MCE using these two algorithms.